PSyLab

Digital, Mixed-signal and Integrated Power Circuits and Architectures

Processing Systems Lab

Digital and Mixed-Signal Circuits and Architectures

"Regenerative Breaking" - optimal energy recovery from duty-cycled domains (ISSCC'22)

We introduced “regenerative breaking” – reversing the flow of electrical energy from the load back into the battery to realize dramatic efficiency improvement in ultra-low power duty-cycled systems.

Optimal Adaptive Beamforming for mm-Wave phased arrays (ISSCC'22)

We demonstrated the first optimal adaptive beamforming receiver back end, employing Generalized Side-lobe Cancelation to maximize Signal to Interference and Noise Ratio (SINR) in the presence of multiple moving interferers.

Computationally Controlled Simo Regulators for System Efficiency Maximization

We introduced Dynamic Droop Allocation, a technique that leverages system level observations and runtime computation to minimize voltage droop margins in SIMO-regulated SoCs, improving overall system efficiency by 1.8X over state-of-the-art.

Computational LDOs and Autonomous Gain Tracking (ISSCC'19)

The first computationally-controlled Low Dropout Regulator relying on Vdd statistics to auto-tune loop-gain

Computationally locked PLLs

Reducing PLL lock time for cold-start and relock by an order of magnitude.

At a Glance

Visvesh Sathe

Visvesh Sathe

Principal Investigator

Our primary publication venues in the last 6 years..

Our primary publication venues in the last 6 years..

  • JSSC (9)
  • ISSCC (7)
  • VLSI Symposium (3)
  • CICC (1)

Alumni Placement

  • Intel
  • Apple
  • Nvidia
  • Meta
  • Medtronic
  • Synopsys
  • Sambanova
  • Micron
  • Silicon Labs
  • Cambricon

About Us

The Processing Systems Lab (PSyLab) consists of a closely-knit group of PhD, MS and undergraduate researchers who pride ourselves  in a culture conducive to critical thinking, and supporting each others work as we explore interesting and impactful problems across a range of areas. 

Presently, we conduct research on circuits, methodologies, and architectures in the design of digital and mixed-signal systems. We characteristically exploit observations at the system and architecture level, and draw from ideas outside of traditional circuit design to devise new, creative solutions to important problems. These techniques have been demonstrated over a broad range of technical areas spanning energy-efficient computing, clocking, baseband processing, thermal sensing, machine learning and the design of neural interfaces to name a few.

News from PSyLab

Arindam defends his thesis – onward to new adventures!

Jul 29, 2024

July 29th, 2024       Arindam successfully defended his PhD dissertation this week. He is off to new adventures at Nvidia later this summer! A number of his labmates missed out on being in-person at his defense, though they did dial in. Arindam has had a...

Chi-Hsiang defends his thesis – onward to new adventures!

Mar 7, 2024

Mar 7, 2024   Chi-Hsiang successfully defended his PhD dissertation. He heads off to new adventures at the DDG group at Intel where he will work on next generation circuit technologies. Chi-Hsiang has been a linchpin at PSyLab since he joined us, and a genuine...

PSyLab openings for two graduate students

Jan 18, 2024

Jan 18, 2024     PSyLab has openings for a Post-Doc and a graduate student to join us in 2023. We are also on the look-out for 2 M.S students and 2 B.S student researchers. More details can be found here....

ALL NEWS